Mohan M. Trivedi

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 107

Top Venues

CoRR

ITSC

Intelligent Vehicles Symposium

Publications

Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. CoRR (2024)
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. CoRR (2024)
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics. Pattern Recognit. Lett. 178 (2024)
Ross Greer, Mohan M. Trivedi
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets. CoRR (2024)
Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. IV (2024)
Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, Mohan M. Trivedi
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. CoRR (2024)
Ross Greer, Mohan M. Trivedi
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving. CoRR (2024)
Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose, Mohan M. Trivedi
Driver Activity Classification Using Generalizable Representations from Vision-Language Models. CoRR (2024)
Akshay Gopalkrishnan, Ross Greer, Mohan M. Trivedi
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving. CoRR (2024)
Afnan Alofi, Ross Greer, Akshay Gopalkrishnan, Mohan M. Trivedi
Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets. IV (2024)
Ross Greer, Bjørk Antoniussen, Mathias V. Andersen, Andreas Møgelmose, Mohan M. Trivedi
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration. CoRR (2024)
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. IV (2024)
Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, Mohan M. Trivedi
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics. CoRR (2023)
Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. IV (2023)
Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar, Mohan M. Trivedi
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations. CoRR (2023)
Ross Greer, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework. CoRR (2023)
Ross Greer, Lulua Rakla, Akshay Gopalkrishnan, Mohan M. Trivedi
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context. CoRR (2023)
Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. CoRR (2023)
Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. IV (2023)
Ross Greer, Mohan M. Trivedi
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets. CoRR (2022)
Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. WACV (Workshops) (2022)
Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. CoRR (2021)
Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi
LaneAF: Robust Multi-Lane Detection With Affinity Fields. IEEE Robotics Autom. Lett. 6 (4) (2021)
Akshay Rangesh, Pranav Maheshwari, Mez Gebre, Siddhesh Mhatre, Vahid Ramezani, Mohan M. Trivedi
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking. CoRR (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. CoRR (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. ITSC (2021)
Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi
LaneAF: Robust Multi-Lane Detection with Affinity Fields. CoRR (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. CoRR (2021)
Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation. IV (2021)
Ross Greer, Nachiket Deo, Mohan M. Trivedi
Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss. IEEE Robotics Autom. Lett. 6 (3) (2021)
Nachiket Deo, Mohan M. Trivedi
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans. CoRR (2020)
Ross Greer, Nachiket Deo, Mohan M. Trivedi
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss. CoRR (2020)
Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. IV (2020)
Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi
Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids. IEEE Robotics Autom. Lett. 5 (2) (2020)
Nachiket Deo, Mohan M. Trivedi
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness. IEEE Trans. Intell. Veh. 5 (1) (2020)
Giovanni Maria Farinella, Marco Leo, Gérard G. Medioni, Mohan M. Trivedi
Learning and recognition for assistive computer vision. Pattern Recognit. Lett. 137 (2020)
Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. CoRR (2020)
Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi
Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving. CoRR (2020)
Akshay Rangesh, Mohan M. Trivedi
Forced Spatial Attention for Driver Foot Activity Classification. ICCV Workshops (2019)
Andreas Riener, Joe Gabbard, Mohan M. Trivedi
Special Issue of Presence: Virtual and Augmented Reality Virtual and Augmented Reality for Autonomous Driving and Intelligent Vehicles: Guest Editors' Introduction. Presence Teleoperators Virtual Environ. 27 (1) (2019)
Siddharth, Mohan M. Trivedi
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. IV (2019)
Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids. CoRR (2019)
Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. IV (2019)
Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. CoRR (2019)
Siddharth, Mohan M. Trivedi
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights. CoRR (2019)
Nachiket Deo, Mohan M. Trivedi
Scene Induced Multi-Modal Trajectory Forecasting via Planning. CoRR (2019)
Akshay Rangesh, Mohan M. Trivedi
Forced Spatial Attention for Driver Foot Activity Classification. CoRR (2019)
Nachiket Deo, Nasha Meoli, Akshay Rangesh, Mohan M. Trivedi
On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity. ICCV Workshops (2019)
Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. IV (2019)
Siddharth, Mohan M. Trivedi
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. CoRR (2019)
Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. CoRR (2019)
Akshay Rangesh, Mohan M. Trivedi
HandyNet: A One-Stop Solution to Detect, Segment, Localize & Analyze Driver Hands. CVPR Workshops (2018)
Siddharth, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi
Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach. CoRR (2018)
Sujitha Martin, Sourabh Vora, Kevan Yuen, Mohan M. Trivedi
Dynamics of Driver's Gaze: Explorations in Behavior Modeling & Maneuver Prediction. CoRR (2018)
Marco Leo, Antonino Furnari, Gérard G. Medioni, Mohan M. Trivedi, Giovanni Maria Farinella
Deep Learning for Assistive Computer Vision. ECCV Workshops (6) (2018)
Akshay Rangesh, Mohan M. Trivedi
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands. CoRR (2018)
Akshay Rangesh, Mohan M. Trivedi
When Vehicles See Pedestrians with Phones: A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians. CoRR (2018)
Kevan Yuen, Mohan M. Trivedi
Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields. CoRR (2018)
Akshay Rangesh, Mohan M. Trivedi
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs. CoRR (2018)
Nachiket Deo, Mohan M. Trivedi
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs. Intelligent Vehicles Symposium (2018)
Nachiket Deo, Mohan M. Trivedi
Convolutional Social Pooling for Vehicle Trajectory Prediction. CoRR (2018)
Sourabh Vora, Akshay Rangesh, Mohan M. Trivedi
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis. CoRR (2018)
Kevan Yuen, Mohan M. Trivedi
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation. CoRR (2018)
Nachiket Deo, Mohan M. Trivedi
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness. CoRR (2018)
Akshay Rangesh, Nachiket Deo, Kevan Yuen, Kirill Pirozhenko, Pujitha Gunaratne, Heishiro Toyoda, Mohan M. Trivedi
Exploring the Situational Awareness of Humans inside Autonomous Vehicles. ITSC (2018)
Eduardo Romera, Luis Miguel Bergasa, Jose M. Alvarez, Mohan M. Trivedi
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium (2018)
Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction. CoRR (2018)
Ishan Gupta, Akshay Rangesh, Mohan M. Trivedi
3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images. ECCV Workshops (5) (2018)
Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction. IEEE Trans. Intell. Veh. 3 (2) (2018)
Akshay Rangesh, Mohan M. Trivedi
Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road. CoRR (2018)
Nachiket Deo, Mohan M. Trivedi
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs. CoRR (2018)
Nachiket Deo, Mohan M. Trivedi
Convolutional Social Pooling for Vehicle Trajectory Prediction. CVPR Workshops (2018)
Kevan Yuen, Mohan M. Trivedi
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation. IEEE Trans. Intell. Veh. 2 (4) (2017)
Marco Leo, Gérard G. Medioni, Mohan M. Trivedi, Takeo Kanade, Giovanni Maria Farinella
Computer vision for assistive technologies. Comput. Vis. Image Underst. 154 (2017)
John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen, Wade Trappe
Signal Processing for Smart Vehicle Technologies: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 34 (2) (2017)
Nachiket Deo, Mohan M. Trivedi
Learning and predicting on-road pedestrian behavior around vehicles. ITSC (2017)
Akshay Rangesh, Kevan Yuen, Ravi Kumar Satzoda, Rakesh Nattoji Rajaram, Pujitha Gunaratne, Mohan M. Trivedi
A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment. CoRR (2017)
Sujitha Martin, Mohan M. Trivedi
Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers. Intelligent Vehicles Symposium (2017)
Sourabh Vora, Akshay Rangesh, Mohan M. Trivedi
On generalizing driver gaze zone estimation using convolutional neural networks. Intelligent Vehicles Symposium (2017)
Mike Daily, Swarup Medasani, Reinhold Behringer, Mohan M. Trivedi
Self-Driving Cars. Computer 50 (12) (2017)
Eshed Ohn-Bar, Mohan M. Trivedi
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection. CoRR (2017)
Miklas S. Kristoffersen, Jacob V. Dueholm, Ravi Kumar Satzoda, Mohan M. Trivedi, Andreas Møgelmose, Thomas B. Moeslund
Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. CVPR Workshops (2016)
Sujitha Martin, Kevan Yuen, Mohan M. Trivedi
Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge. Intelligent Vehicles Symposium (2016)
Eshed Ohn-Bar, Mohan M. Trivedi
To boost or not to boost? On the limits of boosted trees for object detection. ICPR (2016)
John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen
Signal Processing for Smart Vehicle Technologies [From the Guest Editors]. IEEE Signal Process. Mag. 33 (6) (2016)
Kevan Yuen, Sujitha Martin, Mohan M. Trivedi
Looking at faces in a vehicle: A deep CNN based approach and evaluation. ITSC (2016)
Giovanni Maria Farinella, Takeo Kanade, Marco Leo, Gérard G. Medioni, Mohan M. Trivedi
Special issue on Assistive Computer Vision and Robotics - Part I. Comput. Vis. Image Underst. 148 (2016)
Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi
Hidden Hands: Tracking Hands with an Occlusion Aware Tracker. CVPR Workshops (2016)
Kevan Yuen, Sujitha Martin, Mohan M. Trivedi
On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset. ICPR (2016)
Eshed Ohn-Bar, Mohan M. Trivedi
What makes an on-road object important? ICPR (2016)
Jacob V. Dueholm, Miklas S. Kristoffersen, Ravi Kumar Satzoda, Eshed Ohn-Bar, Thomas B. Moeslund, Mohan M. Trivedi
Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics. ITSC (2016)
Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
In-vehicle Hand Gesture Recognition using Hidden Markov models. ITSC (2016)
Sujitha Martin, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi
Preparatory coordination of head, eyes and hands: Experimental study at intersections. ICPR (2016)
Siddharth, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi
Driver hand localization and grasp analysis: A vision-based real-time approach. ITSC (2016)
Rakesh Nattoji Rajaram, Eshed Ohn-Bar, Mohan M. Trivedi
A study of vehicle detector generalization on U.S. highway. ITSC (2016)
Sujitha Martin, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi
The rhythms of head, eyes and hands at intersections. Intelligent Vehicles Symposium (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohan M. Trivedi